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FIGURES 1–6. Ypsolopha kotzschi. 1. external appearance. 2–5. labels. 6 in Redescription of Ypsolopha kotzschi (Toll, 1947) (Lepidoptera, Ypsolophidae)
FIGURES 1–6. Ypsolopha kotzschi. 1. external appearance. 2–5. labels. 6. labial palpus.
FIGURES 1–4. Ypsolopha nervosella. 1. Adult, 2–3. Labels. 4 in Redescription of Ypsolopha nervosella (Zerny, 1940) (Lepidoptera, Ypsolophidae) with first description of the female genitalia
FIGURES 1–4. Ypsolopha nervosella. 1. Adult, 2–3. Labels. 4. Labial palpus.
LIVECell A large-scale dataset for label-free live cell segmentation - organised by cell type
<p>This data was originally published in </p><p><a href="https://doi.org/10.1038/s41592-021-01249-6">Edlund, C., Jackson, T.R., Khalid, N. <i>et al.</i> LIVECell—A large-scale dataset for label-free live cell segmentation. <i>Nat Methods</i> <strong>18</strong>, 1038–1045 (2021). https://doi.org/10.1038/s41592-021-01249-6</a></p><p>The instance segmentation annotation data has been downloaded and organised in folders for each cell type to ease its use in demos and courses. Please, refer to the original publication and <a href="https://sartorius-research.github.io/LIVECell/">original data source</a> for further research studies. </p><p><strong>IF YOU USE THIS DATASET, PLEASE ACKNOWLEDGE THE ORIGINAL AUTHORS (Edlund et al., Nat Methods 2021)</strong></p>
2D and 3D biometrics fingerprint dataset in contacless and labeled conditions
<p>2D and 3D Fingerrpint dataset. It was created by former Ph.D. stduent Ms. Wei Zhou under the supervision of Prof. J. Hu who acts as the communication contact.</p>
Dataset for "Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies"
<p>The raw dataset for "Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies"</p> <p><span>DOI:</span><a href="https://doi.org/10.1016/j.stemcr.2023.12.001">https://doi.org/10.1016/j.stemcr.2023.12.001</a></p>
2003_2020 auroral data and predicted labels
Open the record for dataset details and reuse information.
Images and Labels for Segmentation Studies in Microscopy
Open the record for dataset details and reuse information.
Scripts and Datasets for Photocatalytic Nanoscale Metal-Organic Framework for Proximity Labeling in Living Cells
<p>Please read data_process.ipynb for more details.</p>
Test data and checkpoints for Virtual Gram staining of label-free bacteria using CGANs
Open the record for dataset details and reuse information.
labels
<p>labels of the labeled images</p>
Dataset for Label-free Surface Enhanced Raman Scattering (SERS) on Centrifugal Silver Plasmonic Paper (CSPP): a novel methodology for unprocessed biofluids sampling and analysis.
<p>This dataset contains all the spectra used in "Label-free Surface Enhanced Raman Scattering (SERS) on Centrifugal Silver Plasmonic Paper (CSPP): a novel methodology for unprocessed biofluids sampling and analysis". Data are available in 2 different formats:</p> <p>- a compressed archive ("Spectra.zip") with 5 folders ("Figure 1-5”) containing all the *.txt files used to generate the 5 figures in the original paper (1 file = 1 spectrum).</p> <p>- 5 single CSV files (“Figure-X_all-spectra-and-metadata.csv”) with all the spectra and metadata relative to a specific figure. The data are structured as follow, with each row being 1 spectrum, followed by metadata.</p>
PBMC_3k_labels
<p>Cell type labels for the pbmc3k dataset.</p>
Fig. 65. A–B. Tavaresiella hebri T.Majewski. Two mature thalli with labelled I, II in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 65. A–B. Tavaresiella hebri T.Majewski. Two mature thalli with labelled I, II, III cells, elongated main cell of inner appendage branch (*), and darkened projection from cell I (arrows). – C–G. Amorphomyces ventricosus Santam. sp. nov. C. Lower area of perithecium in detail to focus on cells n and some of the wall cells (w n). D–F. Female mature thalli. G. Male thallus with labelled cells I, II and antheridium (an). Scale bars: A–B, D–F = 50 µm; C, G = 25 µm. Photographs from slides ZMUC C-F-124090 (A–B), ZMUC C-F-123457 (D–G) (holotype).
Fig. 19. Asaphomyces cholevae Thaxt. A–E. Mature thalli with labelled cell m in Laboulbeniomycetes (Fungi, Ascomycota) of Denmark
Fig. 19. Asaphomyces cholevae Thaxt. A–E. Mature thalli with labelled cell m in A, cells VI and VI′ (*) in B, and enlarged w 3 (arrows) in C and E. Thallus in E is from the holotype. Scale bars: 50 µm. Photographs from slides ZMUC C-F-122758 (A), ZMUC C-F-122527 (B–C), ZMUC C-F-122654 (D), FH3980 (holotype).
19th Century United States Newspaper Advert images with 'illustrated' or 'non illustrated' labels
<p>The Dataset contains images derived from the Newspaper Navigator (news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (<a href="https://chroniclingamerica.loc.gov/">chroniclingamerica.loc.gov/</a>). </p> <blockquote> <p>[The Newspaper Navigator dataset] consists of extracted visual content for 16,358,041 historic newspaper pages in <em>Chronicling America</em>. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the <a href="https://labs.loc.gov/work/experiments/beyond-words/">Beyond Words</a> crowdsourcing project.</p> <p>source:<a href="https://news-navigator.labs.loc.gov/"> https://news-navigator.labs.loc.gov/</a></p> </blockquote> <p>One of these categories is 'advertisements. This dataset contains a sample of these images with additional labels indicating if the advert is 'illustrated' or 'not illustrated'.</p> <p>The data is organised as follows:</p> <ul> <li>The images themselves can be found in `images.zip`</li> <li>`newspaper-navigator-sample-metadata.csv` contains metadata about each image drawn from the Newspaper Navigator Dataset.</li> <li>`ads.csv` contains the labels for the images as a CSV file</li> <li>`sample.csv` contains additional metadata about the images (based on the newspapers those images came from). </li> </ul> <p>This dataset was created for use in an under-review Programming Historian tutorial (<a href="http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt1">http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt1</a>) The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. The data is shared here since it may be useful for others. <strong>This data documentation is a work in progress and will be updated when the Programming Historian tutorial is released publicly. </strong></p> <p>The metadata CSV file contains the following columns:</p> <p>- filepath<br> - pub_date<br> - page_seq_num<br> - edition_seq_num<br> - batch<br> - lccn<br> - box<br> - score<br> - ocr<br> - place_of_publication<br> - geographic_coverage<br> - name<br> - publisher<br> - url<br> - page_url<br> - month<br> - year<br> - iiif_url</p>
Feasibility and preliminary efficacy for morning bright light therapy to improve sleep and plasma biomarkers in US Veterans with TBI. A prospective, open-label, single-arm trial
<p>Mild traumatic brain injury (TBI) is associated with persistent sleep-wake dysfunction, including insomnia and circadian rhythm disruption, which can exacerbate functional outcomes including mood, pain, and quality of life. Present therapies to treat sleep-wake disturbances in those with TBI (e.g., cognitive behavioral therapy for insomnia) are limited by marginal efficacy, poor patient acceptability, and/or high patient/provider burden. Thus, this study aimed to assess the feasibility and preliminary efficacy of morning bright light therapy, to improve sleep in Veterans with TBI (NCT03578003). Thirty-three Veterans with history of TBI were prospectively enrolled in a single-arm, open-label intervention using a lightbox (~10,000 lux at the eye) for 60-minutes every morning for 4-weeks. Pre- and post-intervention outcomes included questionnaires related to sleep, mood, TBI, post-traumatic stress disorder (PTSD), and pain; wrist actigraphy as a proxy for objective sleep; and blood-based biomarkers related to TBI/sleep. The protocol was rated favorably by ~75% of participants, with adherence to the lightbox and actigraphy being ~87% and 97%, respectively. Post-intervention improvements were observed in self-reported symptoms related to insomnia, mood, and pain; actigraphy-derived measures of sleep; and blood-based biomarkers related to peripheral inflammatory balance. The severity of comorbid PTSD was a significant positive predictor of response to treatment. Morning bright light therapy is a feasible and acceptable intervention that shows preliminary efficacy to treat disrupted sleep in Veterans with TBI. A full-scale randomized, placebo-controlled study with longitudinal follow-up is warranted to assess the efficacy of morning bright light therapy to improve sleep, biomarkers, and other TBI related symptoms.</p>
👐OpenHands v1 : Labelled ISLR datasets - Poses
<p>ISLR Pose datasets</p>
White stork tri-axial accelerometer data with behaviour labels
<p>The tri-axial ACC demo dataset from white stork (<i>Ciconia ciconia</i>) (data accessible from the AcceleRater website: http://accapp.move-ecol-minerva.huji.ac.il/) was measured at 10.54 Hz. Forty tri-axial measurements, totalling 3.8 seconds, were used to form a behaviour segment. The dataset includes 1746 segments each forming a row in the dataset. Each row contains 121 columns. The first 120 columns are ACC measurements from three orthogonal axes, arranged as x, y, z, x, y, z, ...,x, y, z. The final column is of type character containing the corresponding behaviour. The dataset contains 5 different behaviours including "A_FLIGHT" - active flight (77 cases), "P_FLIGHT" - passive filght (96), "WALK" - walking (437), "STND" - standing (863), "SITTING" - sitting (273).</p>
Supplementary material 1 from: Gavrilova A, Gavrilov G (2022) Assessment of morphological pharmacognostic characteristics of the content and label information of dried herbs marketed as food supplements in Bulgaria. Pharmacia 69(3): 865-872. https://doi.org/10.3897/pharmacia.69.e87549
Table S1
Figs 21-22. Andrena assimilis Radoszkowski, 1876,. 21, label details. 22 in The genus Andrena in Belgium: revisions, clarifications, and a key for their identification (Hymenoptera: Andrenidae)
Figs 21-22. Andrena assimilis Radoszkowski, 1876,. 21, label details. 22, female profile.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.